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Sr. Business Intelligence Analyst; Remote Eligible

Remote / Online - Candidates ideally in
Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Mathematica
Remote/Work from Home position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Data Engineering, Business Intelligence
Salary/Wage Range or Industry Benchmark: 105000 - 135000 USD Yearly USD 105000.00 135000.00 YEAR
Job Description & How to Apply Below

About Mathematica

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well‑being around the world. We collaborate closely with public‑and private‑sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide‑ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.

Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee‑owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

Read more about our benefits here: https://www.mathematica.org/career‑opportunities/benefits‑at‑a‑glance.

About Mathematica

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well‑being around the world. We collaborate closely with public‑and private‑sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide‑ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.

Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee‑owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

Read more about our benefits here: https://www.mathematica.org/career‑opportunities/benefits‑at‑a‑glance.

Mathematica is looking for an experienced Business Intelligence Analyst to join the Data Solutions team to design and deliver scalable, high‑performing business intelligence and data solutions. This role combines deep expertise in Power BI and / or Tableau with strong data engineering, data modeling, and cloud capabilities to build solutions spanning data pipelines and data marts through semantic models, dashboards, reports, and visualizations.

The ideal candidate is a hands‑on senior engineer who can independently solve complex data and BI challenges while providing technical leadership to project teams.

Primary Duties And Responsibilities
  • Design, develop, and maintain enterprise BI and analytics solutions using Power BI and Tableau, translating business requirements into scalable, intuitive, production‑ready products.
  • Design supporting data models and data marts, including dimensional models, star/snowflake schemas, semantic models, and aggregation strategies optimized for analytics and reporting.
  • Build and maintain production data pipelines and ETL/ELT processes using SQL and, where appropriate, Python, .NET, AWS‑native services, Snowflake, or Databricks.
  • Optimize end‑to‑end BI performance, identifying and resolving bottlenecks across dashboards, semantic models, queries, data models, pipelines, databases/warehouses, and cloud infrastructure.
  • Apply…
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